Sentiment analysis is the process of analyzing, processing, generalizing and reasoning about subjective texts filled with emotional expression, which has attracted much attention in natural language processing. Mingjie Ling [1]} extracted word representation and sentence position representation from multichannel CNN and LSTM respectively, and experiments showed that the model achieved a better polarity classification ability for Chinese Weibo. Duyu Tang [2]} proposed a target-dependent LSTM model where target signals are taken into consideration to boost the classification accuracy.
